




"""simple docstring"""





# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import sys

import transformers


A				=							"""3"""

print("""Python version:""", sys.version)
print("""transformers version:""", transformers.__version__)

try:
					import torch

					print("""Torch version:""", torch.__version__)
					print("""Cuda available:""", torch.cuda.is_available())
					print("""Cuda version:""", torch.version.cuda)
					print("""CuDNN version:""", torch.backends.cudnn.version())
					print("""Number of GPUs available:""", torch.cuda.device_count())
					print("""NCCL version:""", torch.cuda.nccl.version())
except ImportError:
					print("""Torch version:""", None)

try:
					import deepspeed

					print("""DeepSpeed version:""", deepspeed.__version__)
except ImportError:
					print("""DeepSpeed version:""", None)

try:
					import tensorflow as tf

					print("""TensorFlow version:""", tf.__version__)
					print("""TF GPUs available:""", bool(tf.config.list_physical_devices("""GPU""")))
					print("""Number of TF GPUs available:""", len(tf.config.list_physical_devices("""GPU""")))
except ImportError:
					print("""TensorFlow version:""", None)










"""simple docstring"""


import qiskit


def        UpperCAmelCase      (					a__     ,      a__ ):





						'''simple docstring'''






						lowerCAmelCase   :List[Any]						=			qiskit.Aer.get_backend('aer_simulator' )

						# Create a Quantum Circuit acting on the q register
						lowerCAmelCase   :Optional[int]						=			qiskit.QuantumCircuit(a__     ,      a__ )

						# Apply X (NOT) Gate to Qubits 0 & 1
						circuit.x(0 )
						circuit.x(1 )

						# Map the quantum measurement to the classical bits
						circuit.measure([0, 1]     ,      [0, 1] )

						# Execute the circuit on the qasm simulator
						lowerCAmelCase   :Dict						=			qiskit.execute(a__     ,      a__     ,      shots=10_00 )

						# Return the histogram data of the results of the experiment.
						return job.result().get_counts(a__ )


if __name__ == "__main__":
		__SCREAMING_SNAKE_CASE   =   single_qubit_measure(2, 2)
		print(F"""Total count for various states are: {counts}""")